{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 用 ollama 嵌入模型生成向量表示\n",
    "\n",
    "这里是我们自己修改的，因为milvus并没有写支持ollama的demo.\n",
    "\n",
    "除了ollama其它嵌入模型的集成参见：https://milvus.io/docs/zh/integrations_overview.md"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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0.087455206, 0.014217411, 0.033670504, -0.01471881, -0.029150581, 0.033159677, 0.0028672395, -0.059146818, 0.0021540746, 0.00052362203, -0.01284714, -0.047170546, 0.0020427296, 0.039608836, -0.022570353, -0.02840538, 0.015754199, -0.038759407, 0.013637128, 0.0037683449, 0.0066553717, -0.0025058715, -0.02726498, -0.0015062768, 0.01858004, -0.03172479, -0.0038110458, -0.050492313, -0.016448634, -0.009065583, -0.010967813, -0.03863236, 0.012923318, 0.021430554, 0.03409607, 0.04914589, -0.06950574, 0.018642737, 0.050783064, 0.014320545, 0.033983335, -0.082234286, 0.0084781265, 0.024624951, -0.009236261, -0.06577356, 0.0075708437, 0.002899724, -0.04394793, 0.005728645, -0.005483056, 0.033295594, 0.06126196, 0.0019692422, -0.02607023, 0.004030976, 0.022997571, -0.004273544, -0.004612524, 0.009354787, -0.025896534, 0.08078636, 0.0014170832], 'text': 'Born in Maida Vale, London, Turing was raised in southern England.', 'subject': 'history'}]\n"
     ]
    }
   ],
   "source": [
    "import ollama\n",
    "\n",
    "ollama_client = ollama.Client(host='http://192.168.20.43:11434')\n",
    "\n",
    "MODEL_NAME = \"bge-m3:latest\" \n",
    "\n",
    "docs = [\n",
    "    \"Artificial intelligence was founded as an academic discipline in 1956.\",\n",
    "    \"Alan Turing was the first person to conduct substantial research in AI.\",\n",
    "    \"Born in Maida Vale, London, Turing was raised in southern England.\",\n",
    "]\n",
    "\n",
    "vectors = [\n",
    "    vec\n",
    "    for vec in ollama_client.embed(input=docs, model=MODEL_NAME).embeddings\n",
    "]\n",
    "\n",
    "print(vectors)\n",
    "\n",
    "data = [\n",
    "    {\"id\": i, \n",
    "     \"vector\": vectors[i], \n",
    "     \"text\": docs[i], \n",
    "     \"subject\": \n",
    "     \"history\"}\n",
    "    for i in range(len(docs))\n",
    "]\n",
    "\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 存入向量库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3\n"
     ]
    }
   ],
   "source": [
    "from pymilvus import MilvusClient\n",
    "\n",
    "DIMENSION = 1024\n",
    "\n",
    "milvus_client = MilvusClient(uri=\"http://192.168.20.48:19530\")\n",
    "COLLECTION_NAME = \"marss_demo\"  # Milvus collection name\n",
    "# Create a collection to store the vectors and text.\n",
    "if milvus_client.has_collection(collection_name=COLLECTION_NAME):\n",
    "    milvus_client.drop_collection(collection_name=COLLECTION_NAME)\n",
    "milvus_client.create_collection(collection_name=COLLECTION_NAME, dimension=DIMENSION)\n",
    "\n",
    "# Insert all data into Milvus vector database.\n",
    "res = milvus_client.insert(collection_name=COLLECTION_NAME, data=data)\n",
    "\n",
    "print(res[\"insert_count\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 查询向量库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Query: When was artificial intelligence founded?\n",
      "[{'id': 0, 'distance': 0.7782580852508545, 'entity': {'text': 'Artificial intelligence was founded as an academic discipline in 1956.', 'subject': 'history'}}, {'id': 1, 'distance': 0.6248053908348083, 'entity': {'text': 'Alan Turing was the first person to conduct substantial research in AI.', 'subject': 'history'}}]\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "queries = [\"When was artificial intelligence founded?\"]\n",
    "\n",
    "query_vectors = [    \n",
    "    vec\n",
    "    for vec in ollama_client.embed(input=queries, model=MODEL_NAME).embeddings\n",
    "]\n",
    "\n",
    "\n",
    "res = milvus_client.search(\n",
    "    collection_name=COLLECTION_NAME,  # target collection\n",
    "    data=query_vectors,  # query vectors\n",
    "    limit=2,  # number of returned entities\n",
    "    output_fields=[\"text\", \"subject\"],  # specifies fields to be returned\n",
    ")\n",
    "\n",
    "for q in queries:\n",
    "    print(\"Query:\", q)\n",
    "    for result in res:\n",
    "        print(result)\n",
    "    print(\"\\n\")"
   ]
  }
 ],
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